3 scenarios when to use mongodb!

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3 Scenarios When to use MongoDB!

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Today we will take you through the following:

NoSQL vs SQL

CAP Theorem

MongoDB Unleashed

MongoDB Market Demand

Companies using MongoDB

3 Scenarios where MongoDB suits best

Agenda

(Hands ON)


NoSQL vs SQL


Table basedDocument basedKey-value pairs etc..

Predefined schemaDynamic schema

Vertically scalableHorizontally scalable

Good fit for the complex queryNot good fit for complex queries

Emphasizes on ACID properties( Atomicity, consistency, isolation and durability)

Follows the CAP theorem ( consistency, availability and partition tolerance )

NoSQL SQL

NoSQL vs SQL


CAP Theorem


It is impossible for a distributed computer system to simultaneously provide all three of the following guarantees :

Consistency (all nodes see the same data at the same time)

Availability (a guarantee that every request receives a response about whether it succeeded or failed)

Partition tolerance (the system continues to operate despite arbitrary partitioning due to network failures)

CAP Theorem


MongoDB and its Top Features


MongoDB

free and open-source software

cross-platform document-oriented database

JSON-like documents with

dynamic schemas

What is MongoDB


Document-Oriented

• Store the business subject in the minimal number of documents e.g. instead of storing title and author information in two distinct relational structures, title, author, and other title-related information can all be stored in a single document called Book

Ad hoc Queries• MongoDB supports search by field, range queries, regular expression searches

• Queries can return specific fields of documents and also include user-defined JavaScript functions

Indexing• Any field in a MongoDB document can be indexed

• Secondary indices are also available

MongoDB Features


Document-Oriented






MongoDB Features


Replication

• MongoDB provides high availability with replica sets i.e.

• A replica set consists of two or more copies of the data

• Each replica set member may act in the role of primary or secondary replica at any time

• When a primary replica fails, the secondary should become the primary

Load Balancing

• MongoDB scales horizontally using sharding i.e.

• The user chooses a shard key, which determines how the data in a collection will be distributed

• The data is split into ranges (based on the shard key) and distributed across multiple shards

File storage

• MongoDB can be used as a file system, taking advantage of multiple machines for storing files

• Exposes functions for file manipulation and content to developers

• Load-balanced and fault-tolerant system

MongoDB Features


Replication





Load Balancing




File storage




MongoDB Features


Aggregation

• MapReduce can be used for batch processing of data and aggregation operations

• The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used

Server-side JavaScript execution

• JavaScript can be used in queries, aggregation functions (such as MapReduce) and sent directly to the database to be executed

Capped Collections• Supports fixed-size collections called capped collections

• This type of collection maintains insertion order and once the specified size has been reached, behaves like a circular queue

MongoDB Features


Aggregation







MongoDB Features


MongoDB RDBMS

Source : Google Trends

Interest over time

MongoDB is searched more over traditional RDBMS :

MongoDB Search Trend


As per indeed.com and linkedin there are most job posting for MongoDb and the skill index is continuously growing :

MongoDB Job And Market Trend

Source : linkedin


Companies using MongoDB


The Weather Channel turned to MongoDB to get killer features out to users quickly

MongoDB Application


Otto Reinvents E-commerce Personalization for More than 2 Million Visitors Per Day with MongoDB

MongoDB Application


Rethinking The Customer Experience at Metlife: From Stalled to Success in Three Months with MongoDB

MongoDB Application


ADP: Meeting Mobile Demands, One Innovative App at a Time

MongoDB Application


3 Scenarios How Expedia uses MongoDB


Scenario 1

When you need your results in real time inspite of changing schema

MongoDB’s flexible document store and simple horizontal scale-out make it possible for Expedia to

create a feature that gives every user a relevant, seamless shopping experience.

That collects highly-dynamic customer information in real-time and presents personalized offers on the fly.


Scenario 2

When you need flexible data model

MongoDB’s flexible data model makes it easy to store any combination of city pairs, dates and destinations.

Expedia can even continue shopping for someone after that customer has closed out a session. When thecustomer returns, all the latest pricing and availability for their searches are displayed side by side on theirScratchpad.


Scenario 3

When you need indexing

MongoDB's rich indexes are used to power analytics that make personalized suggestions to users while theyshop. Expedia can also analyze patterns to pinpoint trends that offer a better understanding of what customersare looking for.

For a consumer, personalization saves time, saves money, and gets them one step closer to what they’re reallyafter i.e. a cool vacation.

For Expedia, real-time personalization powered by MongoDB means customer loyalty, increased conversionsand a competitive edge that goes straight to the bottom line.

Questions

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3 scenarios when to use mongodb!

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